Senior Software Engineer - Biometric Liveness & ML

RELX; North Sydney Council; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Health plan

Life assurance

Annual leave

Employee assistance program

Flexible working

Learning resources

Job summary

LexisNexis Risk Solutions, Sydney-based IDVerse team, seeks a Senior Software Engineer to advance liveness detection and biometric security. Apply ML and deep learning to distinguish real interactions from spoofing attempts and build scalable systems.

You will design AI-powered liveness pipelines, engineer features, train models, and validate against spoofing techniques, collaborating with data scientists and software engineers. Strong background in TensorFlow/Keras/PyTorch and Python required.

Qualifications

• Strong foundation in machine learning and deep learning.
• Experience in anti-spoofing or biometric security.
• Bachelor's degree in a related field.

Responsibilities

• Design liveness detection systems using AI to differentiate real vs. fake biometric data.
• Develop and optimize deep learning models for liveness detection.
• Extract and engineer features from biometric data for spoofing detection.
• Collaborate with data scientists to prepare large datasets for training.
• Implement and integrate ML algorithms for real-time biometric processing.
• Perform rigorous testing and validation against spoofing techniques.
• Maintain and monitor deployment of liveness detection systems.

Skills

Python

Java

R

Analytical skills

Collaboration

Anti-spoofing exp

Education

Bachelor's degree in Computer Science or Mathematics

Tools

TensorFlow

Keras

PyTorch

Job description

LexisNexis Risk Solutions, Sydney-based IDVerse team, seeks a Senior Software Engineer to advance liveness detection and biometric security. Apply ML and deep learning to distinguish real interactions from spoofing attempts and build scalable systems.

You will design AI-powered liveness pipelines, engineer features, train models, and validate against spoofing techniques, collaborating with data scientists and software engineers. Strong background in TensorFlow/Keras/PyTorch and Python required.